Evidence map›Paper›PMID 23275510›Full record

ArticleApplied and environmental microbiology2013

Molecular analysis of the in situ growth rates of subsurface Geobacter species.

Dawn E Holmes, Ludovic Giloteaux, Melissa Barlett, Milind A Chavan, Jessica A Smith, Kenneth H Williams, Michael Wilkins, Philip Long, Derek R Lovley

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 37 citations in OpenAlex.

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  5. Metagenomic applications in environmental monitoring and bioremediation.Journal of industrial microbiology & biotechnology · 2016
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Dawn E HolmesDepartment of Physical and Biological Sciences, Western New England University, Springfield, MA, USA. dholmes@microbio.umass.edu
Ludovic Giloteaux
Melissa Barlett
Milind A Chavan
Jessica A Smith
Kenneth H Williams
Michael Wilkins
Philip Long
Derek R Lovley
University of Massachusetts Amherst · USUniversity of California, Berkeley · USPacific Northwest National Laboratory · USWestern New England University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular tools that can provide an estimate of the in situ growth rate of Geobacter species could improve understanding of dissimilatory metal reduction in a diversity of environments. Whole-genome microarray analyses of a subsurface isolate of Geobacter uraniireducens, grown under a variety of conditions, identified a number of genes that are differentially expressed at different specific growth rates. Expression of two genes encoding ribosomal proteins, rpsC and rplL, was further evaluated with quantitative reverse transcription-PCR (qRT-PCR) in cells with doubling times ranging from 6.56 h to 89.28 h. Transcript abundance of rpsC correlated best (r(2) = 0.90) with specific growth rates. Therefore, expression patterns of rpsC were used to estimate specific growth rates of Geobacter species during an in situ uranium bioremediation field experiment in which acetate was added to the groundwater to promote dissimilatory metal reduction. Initially, increased availability of acetate in the groundwater resulted in higher expression of Geobacter rpsC, and the increase in the number of Geobacter cells estimated with fluorescent in situ hybridization compared well with specific growth rates estimated from levels of in situ rpsC expression. However, in later phases, cell number increases were substantially lower than predicted from rpsC transcript abundance. This change coincided with a bloom of protozoa and increased attachment of Geobacter species to solid phases. These results suggest that monitoring rpsC expression may better reflect the actual rate that Geobacter species are metabolizing and growing during in situ uranium bioremediation than changes in cell abundance.

Indexed as

AcetatesBiodegradation, EnvironmentalDNA, BacterialGene Expression ProfilingGeobacterGroundwaterIn Situ Hybridization, FluorescenceMolecular Sequence DataRibosomal ProteinsSequence Analysis, DNAUraniumAcetatesDNA, BacterialRibosomal ProteinsUranium

Identifiers

PMID23275510
PMCPMC3591973
OpenAlexW2125072640

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.